Evidence map›Paper›PMID 42053315›Full record

ArticleApplied and environmental microbiology2026

Expanding salivary biomarker detection by creating a synthetic neuraminic acid sensor via chimeragenesis.

Samuel J Verzino, Sharona A Priyev, Valeria A Sánchez Estrada, Ali GholamianMogaddan, Gemma X Crowley, Alexandra Rutkowski, Amelia C Lam, Elizabeth S Nazginov, Paola Kotemelo, Agustina Bacelo and 5 more

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In one paragraph

Article in Applied and environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Samuel J VerzinoDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.ORCID 0009-0006-8714-1763
Sharona A Priyev *Department of Biological Sciences, Saint John's University, Queens, New York, USA.
Valeria A Sánchez Estrada *Department of Biological Sciences, Saint John's University, Queens, New York, USA.
Ali GholamianMogaddan *Department of Biological Sciences, Saint John's University, Queens, New York, USA.ORCID 0009-0005-6019-6804
Gemma X CrowleyDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Alexandra RutkowskiDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Amelia C LamDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Elizabeth S NazginovDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Paola KotemeloDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Agustina BaceloDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Jack D FlanneryDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Ksenya GavrilovDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.
Desiree T SukhramDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.ORCID 0009-0004-5267-3597
Frank X VázquezDepartment of Chemistry, Saint John's University, Queens, New York, USA.ORCID 0000-0002-2157-3823
Javier F JuárezDepartment of Biological Sciences, Saint John's University, Queens, New York, USA.ORCID 0000-0002-1958-9906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-cell biosensors (WCBs) can leverage the physiology of engineered bacteria IMPORTANCE: Whole-cell biosensors based on transcription factors are powerful tools with an enormous potential for point-of-care diagnostics, especially when designed to detect biomarkers from easy-to-extract biological fluids such as saliva. Detection of dysbiosis and cancer salivary biomarker N-acetylneuraminic acid (Neu5Ac) will improve patient prognosis. A common problem when designing biosensors for compounds such as Neu5Ac is the lack in the literature of a transcription factor capable of detecting the analyte of interest. Here, we describe a straightforward approach for the creation of a whole-cell biosensor based on a synthetic allosteric transcription factor capable of detecting Neu5Ac. We provide a scaled-down, affordable pipeline for the construction of a candidate library; we also characterize a candidate transcription factor and validate it with contrived salivary samples. Finally, we compare a functional and a non-functional synthetic transcription factor from our collection, hypothesizing on what are the structural differences influencing their functionality.

Indexed as

Biosensing TechniquesN-Acetylneuraminic AcidNeuraminic AcidsSalivaBiomarkersHumansTranscription FactorsBiomarkersN-Acetylneuraminic AcidNeuraminic AcidsTranscription FactorsN-acetylneuraminicsynthetictranscription factorwhole-cell biosensor

Identifiers

PMID42053315
PMCPMC13188862

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.